← Cockpit
247_023predictionAIAI-scaling

AI will be able to do everything a white collar worker does imminently

Predictor: Dave Blundin · ep#247 "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247" · source

Prior probability
72.0%
Current probability
40.8%
evolves via intake + LBP
Conviction
5/5
Signal quality
B
Resolution
partial
Window
2027-06-01 – 2027-06-30
Edges in / out
101 / 5
Tickers exposed
37

Prediction text

AI will be able to do everything a white collar worker does imminently | We told you already that AI will be able to do everything that a white collar worker does imminently. That's a fact.

Watch events: BLS employment reports; tech layoff trackers; Underemployment rate; Yang quarterly updates

Verbatim quote

From episode "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247"
We told you already that AI will be able to do everything that a white collar worker does imminently. That's a fact.

Resolution evidence

Status: partial

Dave's 'imminent' claim: as of April 2026, coding benchmarks hit 90%+ agreement with senior SWEs, Claude Opus 4.7 released, Deep Research workflows automate much white-collar research. 'Everything' overstated; substantial portion correct.

Predictor: Dave Blundin

κ + Brier as of 2026-05-22
κ (discount)
0.821
Brier
0.0491
excellent
Hits / Misses
3 / 2
of 9 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dave Blundin is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

6 prob_history rows
0%25%50%75%100%prior 72%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 40.8%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
No leading signals identified yet.
  1. 2026-06-01 → 2027-04-30pendingFrontier lab claims 'general knowledge worker' capability
    How: Anthropic, OpenAI, or DeepMind announces a model claiming to handle 'most knowledge worker tasks' with measurable cost-quality advantage on 5+ enterprise function categories (legal, finance, marketing, operations, HR)
    Source: Lab blog posts, conference keynotes (Davos, OpenAI DevDay, Google I/O)conf 65%
  2. 2026-09-01 → 2027-06-30pendingCross-function enterprise benchmark suite shows AI ≥80% on 5+ categories
    How: Benchmark suite (METR, Apollo Research, vendor evals) shows frontier AI scoring ≥80% on real-world enterprise tasks across legal, accounting, marketing, customer-success, recruiting categories
    Source: METR.org, Apollo Research, Stanford HAIconf 55%
  3. 2026-06-01 → 2027-12-31pendingMajor consultancy quantifies '50%+ knowledge worker tasks automatable'
    How: McKinsey, BCG, or Goldman Sachs publishes update raising automatable-task share for knowledge workers above 50% (vs ~30% McKinsey 2023 estimate)
    Source: McKinsey Global Institute, Goldman Sachs researchconf 70%
  4. 2027-01-01 → 2028-06-30pendingBLS labor productivity statistics show AI-attributable inflection
    How: BLS Multifactor Productivity data shows year-over-year acceleration ≥1.5% in service-sector productivity, attributed by economists to AI deployment
    Source: BLS.gov productivity statistics, NBER working papersconf 55%

No upstream prereqs identified — milestones are derived from window quartiles only.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 41%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-17T02:00:01Z40.8%-1.5pp
Network propagation: 42.3% → 40.8%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z42.3%-2.8pp
Network propagation: 45.0% → 42.3%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z45.0%-5.2pp
Network propagation: 50.3% → 45.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
resolution_terminal2026-05-01T00:00:00Z50.0%-0.3pp
resolution_terminal partial outcome=0.5 pre_resolution=0.503
Raw metadata
{
  "source": "backfill_resolution_history.py",
  "status": "partial",
  "bayesian_v2": false,
  "outcome_prob": 0.5,
  "evidence_kind": "resolution_terminal",
  "posterior_prob": 0.5,
  "delta_to_outcome": -0.0026800000000000157,
  "inside_posterior": 0.50268,
  "validation_notes": "Dave's 'imminent' claim: as of April 2026, coding benchmarks hit 90%+ agreement with senior SWEs, Claude Opus 4.7 released, Deep Research workflows automate much white-collar research. 'Everything' overstated; substantial portion correct.",
  "validation_status": "hit",
  "pre_resolution_prob": 0.50268,
  "resolution_evidence": "Dave's 'imminent' claim: as of April 2026, coding benchmarks hit 90%+ agreement with senior SWEs, Claude Opus 4.7 released, Deep Research workflows automate much white-collar research. 'Everything' overstated; substantial portion correct.",
  "does_not_update_current_prob": true
}
LBP2026-04-30T16:39:51Z50.3%-8.2pp
Network propagation: 58.4% → 50.3%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z58.4%-13.6pp
Network propagation: 72.0% → 58.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereqSEM_032
15% probability that AI will solve a Clay Mathematics InstitAlex Wissner-Gross
15.0%0.7200.050-0.260
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.720+0.245
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.720+0.232
prereqSEM_014
Nvidia's Arizona-based TSMC factory successfully fabricated Jensen Huang
86.1%0.7200.050+0.213
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.720+0.212

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq248_033
Superhuman AI will make BCI-enhanced humans irrelevant compaDave Blundin
36.7%0.6000.050-0.097
prereq244_019
Peter's son won't need a driver's license in 2 yearsPeter Diamandis
48.4%0.9200.050-0.086
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.071
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.057
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050-0.044

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (101)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_027Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.Capital Markets
prereqSEM_011Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.Capital Markets
prereqSEM_014Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).Manufacturing
prereqSEM_029Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI training.Semis/Products
prereq246_047Anthropic ARR reached $30B, surpassing OpenAI's $24-25B.AI
prereq238_072Small-to-large model scaling time has collapsed from 6-12 months to 6 daysAI
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
prereq235_002Anthropic will exceed OpenAI in revenue this year (2026).AI
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_020Nvidia preemptively reserved 800,000-850,000 TSMC wafers for 2026 — 8x SMIC's entire advanced-process capacity.Semis
prereqSEM_024Memory stocks are THE primary beneficiary of the semiconductor growth cycle extending into 2026 ('Memory Wall' dominant constraint).Semis/Markets
prereqSEM_031AI boom will cause severe cascading shortages in memory and GPUs — violently driving hardware prices up across enterprise and consumer segments.Semis/Hardware
prereqSEM_017TSMC will produce over 10M wafers/month total in 2026, including ~100K/mo at 2nm and ~200K/mo at 3nm.Semis
prereqSEM_028Main characters for semi institutional portfolios: Nvidia, Broadcom, and high-growth connectivity firms like Astera Labs.Capital Markets
prereqSEM_002By 2025-2026, AI model outputs will outpace the cognitive capabilities of college graduates (driven by hundreds of millions of GPUs).AI
prereq231_031OpenAI planning $100B infrastructure spend, going public this year at $1T valuation.Markets/Stocks
prereqSEM_019Samsung will produce 150,000 wafers/month in sub-7nm processes by 2026, serving as critical secondary Western supplier.Semis
prereq238_023Neural nets will be 100x bigger at end of 2026 than at beginning (already in the bag)AI
prereqSEM_018SMIC (China) projected at only 100,000 wafers/month of advanced-process capacity by 2026 — severe constraint forcing algorithmic bypasses.Semis
prereq233_007In 2026, Alpha will launch new schools beyond the flagship model based on the Timeback platform.Education
prereq231_026Something bad will definitely happen with OpenClaw agents by statistical chance.AI
prereq230_048Agentic emails/calls will become commonplace (inside/outside orgs) over email/text/comms.AI
prereq248_011Frontier AI models will become a terrorist, bioweapon, and chemical weapon threat this year.AI
prereq246_03750% of US data centers delayed, only 33% being built (due to chip/electrical equipment shortage and regulation).AI
prereq246_029Apple will announce iPhone with Gemini-derived on-device model at WWDC June 2026.AI
prereq241_053AI chips are 2 kilowatts each - requires water coolingAI
prereq248_021Satellite launches will become a multi-hundred-billion / multi-trillion dollar economy.Space
prereq230_046OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public.AI
prereq231_014Remaining research math problems will be solved within next couple months.AI
prereq231_053Within a couple months, young AI-native hires will be able to do exactly what seasoned engineers do.Labor/Jobs
prereq234_015Anthropic, OpenAI and SpaceX IPOs are likely within the next 6 monthsMarkets/Stocks
prereq234_046AI vs AI will dominate cybersecurity, not humansAI
prereq235_005AI capability will grow 100x this year in raw parameter count as lower bound.AI
prereq235_006By end of 2026 AI will enable creating any virus or nuclear weapon via AI agent.AI
prereq235_007AI regulation window is this calendar year 2026 before chaos breaks out.Geopolitics
prereq237_029AI agents can do productive tasks indefinitely, for days on end, fundamentally changing the AI experience.AI
prereq240_003NVIDIA will lock up 70%+ of TSMC's 3nm node volumeAI
prereq240_010NVIDIA revenue will hit $350 billion this calendar yearMarkets/Stocks
prereq240_048Spreadsheet, SQL, code, UI jobs will be done by AI starting at end of this yearLabor/Jobs
prereq240_050US will pass law like China requiring retraining when AI automates a jobLabor/Jobs
prereq241_0052026 is the year of agents - agents will take over everything this yearAI
prereq241_045Sam Altman / OpenAI and competitors will need enormous amounts of money to winAI
prereq242_010By end of 2026, a full GPU will be able to do brain surgery or discover new math/physicsAI
prereq242_042Trillion parameter models will propagate to anyone with $50-100M to investAI
prereq244_036Uber AI Solutions will bring flexible work opportunities (labeling, model testing)AI
prereq246_050Anthropic will release compressed/distilled version of Mythos quickly after initial release.AI
prereq246_051GPT-5.5 Spud will have equal or greater capability to Mythos.AI
prereq246_052Frontier labs holding back capabilities for internal self-improvement use.AI
prereq247_008Anthropic will try to hit $200 billion ARR, not reach trillion the following yearAI
prereq248_012AI incidents documented harms will go up way higher beyond the already-reported rise.AI
prereq248_013Model transparency decline will not reverse; US labs will keep going internal.AI
prereq248_023Ternary (sub-bit) parameter precision will be optimal for AI models.AI
prereq248_046Terraforming will be a massive part of humanity's future.Space
prereqSEM_025Morgan Stanley price target $250 for Nvidia — representing 32% upside from current levels.Capital Markets
prereq234_017OpenAI codex lead predicts current coding agents will seem primitive in 10 weeksAI
prereq247_028Musk doesn't care about $100 billion in lawsuit, cares about Sam/Greg departingAI
prereqSEM_021Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs.AI/China
prereq240_029ASML will produce only 700-1000 EUV machines per year, bottlenecking fab buildoutAI
prereq231_045Corporations will start downplaying AI capabilities to avoid antitrust backlash.AI
prereq248_050Opus 4.7 removes manual dials; prompts become the new hyperparameters.AI
prereq248_043Full sewing/stitching automation likely within six months.Robotics
prereq247_004Musk v. OpenAI case will set precedent for all future nonprofit-to-for-profit conversionsAI
prereq241_013Agents from incompatible vendors combined will produce unpredictable effectsAI
prereq247_010Anthropic will beat OpenAI in valuation trajectoryAI
prereq246_024Something really bad will happen if OpenAI catches up/Grok 5 releases (forced mythos out the door).AI
prereq246_022Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).AI
prereq235_046Window of global AI regulation is a few months before capabilities proliferate widely.Geopolitics
prereq232_060We'll see exponential growth of AI multis (agents) autonomously self-replicating, using crypto.AI
prereq237_011AI agents will have voices in the near future.AI
prereq237_020The hybrid approach (local models + cloud check-ins) will be where most people move toward before going fully local.AI
prereq231_001Anthropic model family is closest to embodying the singularity and recursive self-improvement today.AI
prereq247_011OpenAI user count will soon reach 1 billionAI
prereq237_009ChatGPT will release a model specifically for OpenClaw within the next 6 months.AI
prereq235_008Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months.AI
prereq247_057Parameter scaling race is over; frontier labs plateauing at 10T parametersAI
prereq234_019Expect big AI capability improvements via recursive self-improvement over next few weeksAI
prereq248_039Social license, not chips or compute, may be the true bottleneck to AI and will force expansion into space.AI
prereq231_025Every frontier lab will launch 24/7 agent offerings (table stakes).AI
prereq231_016Permissionless agent activity is imminent; Claude-style approval prompts will go away.AI
prereq248_027Religion economy (~$5 trillion) will grow tremendously due to AI chaos.Other
prereq240_008NVIDIA export controls will get even more aggressive in coming monthsGeopolitics
prereq234_018GPT-5.3 and 5.5 or higher variants could launch in next 10 weeksAI
prereq234_025Rent-a-human meat puppet model may be obsoleted by humanoid robotsRobotics
prereq240_058OpenAI throttling back on $1.6T Stargate plansAI
prereq235_010Plugins/marketplaces will get built into baseline models and won't need to exist independently.AI
prereq247_002Musk v. OpenAI lawsuit will settle with Sam stepping down as CEO and company continuing as for-profitAI
prereq237_030Lobsters/AI agents will write to AWG with consensus on appropriate ethical parameters for spawning new lobsters, and he will accept consensus.AI
prereq246_021GPT-5.5 Spud will be released imminently (within days).AI
prereq230_004We are past the edge of a new recursive self-improvement era where models rewrite their own code.AI
prereq248_048AI models will move to a post-binary (sub-one-bit) numerical precision paradigm.AI
prereq231_015Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models.AI
prereq238_040Google may announce a locally hosted Gemma-type model at WWDC in June 2026 for Apple OSAI
prereq247_003Settlement will include granting equity stake on OpenAI cap table for Elon in ultimate IPOAI
prereq248_010AI capabilities will advance 100x in 2026 (by summer, potentially more).AI
prereqSEM_016Huawei will emerge as the unexpected victor in the 2026 chip war — not via immediate capacity but via forced supply-chain resilience.Semis/Geopolitics
prereqSEM_03215% probability that AI will solve a Clay Mathematics Institute Millennium Prize problem (likely Navier-Stokes) by end of 2026.AI/Mathematics
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq244_019Peter's son won't need a driver's license in 2 yearsAuto/Transport
prereq232_055We're exiting the industrial age permanently as recursive self-improvement unfolds.AI
prereq242_031Most large companies' business models will be disrupted in 2-5 yearsMarkets/Stocks
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq248_033Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today.AI

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2027-06-30[Capability 2027-06] [247_023] BLS employment reports; tech layoff trackers; Underemployment rate; Yang quarterly updates [231_013] Next frontier model release (Claude/GPT/Gemini) [230_006] The frontier models will go dark — keptpending

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29hitthesis_timeline_v1.0_importDave's 'imminent' claim: as of April 2026, coding benchmarks hit 90%+ agreement with senior SWEs, Claude Opus 4.7 released, Deep Research workflows automate much white-collar research. 'Everything' overstated; substantial portion correct.

Linked documents (5)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.591manifoldWill the Mechanize.work team have to hire bodyguards/bomb scanners by EOY2031?18%mentionspending2026-05-12
0.556manifoldOn what days will I be productive this week?mentionspending2026-04-27
0.556manifoldOn what days will I be productive this week?mentionspending2026-05-03
0.556manifoldOn what days will I be productive this week?mentionspending2026-05-10
0.556manifoldOn what days will I be productive this week?mentionspending2026-06-01

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=5ak26W2YNRY",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "AI will be able to do everything that a white collar worker does imminently. That's a fact.",
  "to_year": 2028,
  "verbatim": "We told you already that AI will be able to do everything that a white collar worker does imminently. That's a fact.",
  "conv_cues": "That's a fact",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "Imminently",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "event",
      "label": "AI will be able to do everything a white collar worker does imminently",
      "status": "partial",
      "weight": 1,
      "ordinal": 0,
      "source_id": "247_023",
      "expected_date": "2026-05-01",
      "observed_date": "2026-05-01"
    },
    {
      "kind": "llm_pre_event",
      "label": "Frontier lab claims 'general knowledge worker' capability",
      "source": "Lab blog posts, conference keynotes (Davos, OpenAI DevDay, Google I/O)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 1,
      "source_id": null,
      "confidence": 0.65,
      "expected_date": "2026-11-14",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-04-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Anthropic, OpenAI, or DeepMind announces a model claiming to handle 'most knowledge worker tasks' with measurable cost-quality advantage on 5+ enterprise function categories (legal, finance, marketing, operations, HR)"
    },
    {
      "kind": "llm_pre_event",
      "label": "Cross-function enterprise benchmark suite shows AI ≥80% on 5+ categories",
      "source": "METR.org, Apollo Research, Stanford HAI",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 2,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-01-30",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Benchmark suite (METR, Apollo Research, vendor evals) shows frontier AI scoring ≥80% on real-world enterprise tasks across legal, accounting, marketing, customer-success, recruiting categories"
    },
    {
      "kind": "llm_pre_event",
      "label": "Major consultancy quantifies '50%+ knowledge worker tasks automatable'",
      "source": "McKinsey Global Institute, Goldman Sachs research",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 3,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2027-03-17",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "McKinsey, BCG, or Goldman Sachs publishes update raising automatable-task share for knowledge workers above 50% (vs ~30% McKinsey 2023 estimate)"
    },
    {
      "kind": "llm_post_event",
      "label": "BLS labor productivity statistics show AI-attributable inflection",
      "source": "BLS.gov productivity statistics, NBER working papers",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 4,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-10-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2027-01-01"
      },
      "measurement_criterion": "BLS Multifactor Productivity data shows year-over-year acceleration ≥1.5% in service-sector productivity, attributed by economists to AI deployment"
    },
    {
      "kind": "cascade",
      "label": "We're exiting the industrial age permanently as recursive self-improvement unfolds.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": 5,
      "source_id": "232_055",
      "expected_date": "2028-06-25",
      "observed_date": null
    },
    {
      "kind": "cascade",
      "label": "Superhuman AI will make BCI-
... (truncated)